class_docstr: BERT encoder for pre-tokenized text.
class_docstr_tok: ["BERT","encoder","for","pre-tokenized","text","."]
code: def max_seq_length(self):
      return self.model.config.max_position_embeddings
  
file_path: lit/lit_nlp/examples/coref/encoders.py
imports: import os
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.examples.coref import retokenize
  from lit_nlp.examples.models import model_utils
  from lit_nlp.lib import utils
  import numpy
  import tensorflow
  import transformers
label_desc: Use image node_id 1 for calling the BertEncoderWithOffsets obj's underlying member method code with example usage: obj.max_seq_length() and returns: self